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Implementation of Diet Recomendation on Body Fat Scale at the students of Muhammadiyah University PKU Surakarta: Implementasi Rekomendasi Diet pada Timbangan Persen Lemak pada Mahasiswa Universitas Muhammadiyah PKU Surakarta

Implementasi Rekomendasi Diet pada Timbangan Persen Lemak pada Mahasiswa Universitas Muhammadiyah PKU Surakarta: Implementation of Diet Recomendation on Body Fat Scale at the students of Muhammadiyah University PKU Surakarta

Amerta Nutrition · Vol. 9 No. 1SP (2025) · pp. 388–395

DOI
10.20473/amnt.v9i1SP.2025.388-395
ISSN
2580-9776, 2580-1163
Published
2025-12-31
Publisher
Universitas Airlangga
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

English

Background: Accurate nutritional status assessment is essential for designing appropriate dietary recommendations. Conventional body composition analysis tools are often expensive and less accessible. Therefore, the development of modified body fat scales integrated with dietary recommendation features may provide a practical alternative. Objectives: This study aims to implement an integrated dietary recommendation system into body fat scales for students at Muhammadiyah University of PKU Surakarta and to evaluate the measurement accuracy compared to standard devices. Methods: This comparative experimental study involved 60 samples. Measurements included Body Weight (BW), Height (H), Body Mass Index (BMI), body fat percentage, bone density, body fluid, and muscle mass. Data were analyzed using independent sample t-tests and the Mann-Whitney test to compare results between the modified scales and standard (calibrated) scales. Results: The findings indicate no significant differences in body weight, height, and BMI between the modified scales and standard scales (p-value>0.05). However, there were significant differences in body fat percentage (p-value=0.008), bone density (p-value<0.001), body water content (p-value<0.001), and muscle mass (p-value<0.001). Despite these variations, the integrated system successfully provided tailored dietary recommendations based on BMI and body fat analysis. Conclusions: The body fat scale with integrated dietary recommendation features is accurate for assessing basic parameters such as body weight, height, and BMI, while also offering added value through dietary recommendations. Nevertheless, further refinement is necessary to enhance the accuracy of body composition measurements prior to large-scale application.

Indonesian

Latar Belakang: Penilaian status gizi yang akurat sangat penting untuk merancang rekomendasi diet yang tepat. Alat analisis komposisi tubuh konvensional seringkali mahal dan kurang terjangkau. Oleh karena itu, pengembangan timbangan lemak tubuh termodifikasi yang terintegrasi dengan fitur rekomendasi diet dapat memberikan alternatif yang praktis. Tujuan: Penelitian ini bertujuan untuk mengimplementasikan sistem rekomendasi diet yang terintegrasi ke dalam timbangan lemak tubuh pada mahasiswa Universitas Muhammadiyah PKU Surakarta dan mengevaluasi akurasi pengukurannya dibandingkan dengan perangkat standar. Metode: Penelitian komparatif eksperimental ini melibatkan 60 sampel. Pengukuran meliputi Berat Badan (BB), Tinggi Badan (TB), Indeks Massa Tubuh (IMT), persentase lemak tubuh, kepadatan tulang, cairan tubuh, dan massa otot. Data dianalisis menggunakan uji-T sampel independen, dan uji Mann-Whitney untuk membandingkan hasil antara timbangan termodifikasi dan timbangan standar (terkalibrasi). Hasil: Hasil penelitian menunjukkan tidak ada perbedaan signifikan pada berat badan, tinggi badan, dan IMT antara timbangan termodifikasi dan timbangan standar (p-value>0,05). Namun, terdapat perbedaan signifikan pada persentase lemak tubuh (p-value=0,008), kepadatan tulang (p-value<0,001), kadar air dalam tubuh (p-value<0,001), dan massa otot (p-value<0,001). Meskipun terdapat variasi ini, sistem terintegrasi ini berhasil memberikan rekomendasi diet yang disesuaikan berdasarkan analisis IMT dan lemak tubuh. Kesimpulan: Lemak tubuh dengan fitur rekomendasi diet terintegrasi ini akurat untuk menilai parameter dasar seperti berat badan, tinggi badan, dan IMT serta menawarkan nilai tambah rekomendasi diet. Namun demikian, penyempurnaan lebih lanjut diperlukan untuk meningkatkan akurasi pengukuran komposisi tubuh sebelum aplikasi skala besar.

Keywords

Collaboration network of the authors

40 authors · 105 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Brawijaya
  • National Research and Innovation Agency
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Riris Istighfari JenieAffiliation unknown6
Mohamad SyaefudinAffiliation unknown4
Diah Vitri WidayantiAffiliation unknown4
Ratna Asmah SusidartiAffiliation unknown4
Neli PurwaniAffiliation unknown3
Edy MeiyantoAffiliation unknown3
Zalinar UdinAffiliation unknown3
Omar TananeAffiliation unknown3
Nishith ShahuAffiliation unknown3
Dwi AstutiAffiliation unknown2
Tri Eko AgustiningrumAffiliation unknown2
Sudarwoto SudarwotoAffiliation unknown2
Nurul YuhanafiaAffiliation unknown2
Virgiawan Adi KristiantoAffiliation unknown2
Cici DarsihAffiliation unknown2
Agung Setya WardanaAffiliation unknown2
Aan KurniawanNational Research and Innovation Agency2
Syarifah NurainiAffiliation unknown2
Andino MaselenoAffiliation unknown2
Ani Budi AstutiUniversity of Brawijaya1
Suci AstutikUniversity of Brawijaya1
Nur Silviyah RahmiUniversity of Brawijaya1
Alifiandi Rafi MuhammadUniversity of Brawijaya1
Ulfah MaisarohUniversity of Brawijaya1
Kismi MubarokahAffiliation unknown1
Harianingsih HarianingsihAffiliation unknown1
Maharani KusumaningrumAffiliation unknown1
Vera Noviana SulistyawanAffiliation unknown1
Savira Rinda ErlianaAffiliation unknown1
Isnina Noor UbayAffiliation unknown1
Indra Sakti PangestuAffiliation unknown1
Nur QudusAffiliation unknown1
Nelly Setyowati AnggraeniAffiliation unknown1
Ade Novi Nurul IhsaniAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/AMNT/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Implementation of Diet Recomendation on Body Fat Scale at the students of Muhammadiyah University PKU Surakarta: Implementasi Rekomendasi Diet pada Timbangan Persen Lemak pada Mahasiswa Universitas Muhammadiyah PKU Surakarta</dc:title>
	<dc:title xml:lang="id-ID">Implementasi Rekomendasi Diet pada Timbangan Persen Lemak pada Mahasiswa Universitas Muhammadiyah PKU Surakarta: Implementation of Diet Recomendation on Body Fat Scale at the students of Muhammadiyah University PKU Surakarta</dc:title>
	<dc:creator>Noviyanti, Retno Dewi</dc:creator>
	<dc:creator>Prasojo, Ipin</dc:creator>
	<dc:creator>Kusudaryati, Dewi Pertiwi Dyah</dc:creator>
	<dc:creator>Handayani, Sri</dc:creator>
	<dc:creator>Nurrahma, Fina</dc:creator>
	<dc:creator>Rahmayanti, Dilla Sundari Nur</dc:creator>
	<dc:subject xml:lang="id-ID">Arduino</dc:subject>
	<dc:subject xml:lang="id-ID">Komposisi Tubuh</dc:subject>
	<dc:subject xml:lang="id-ID">Rekomendasi Diet</dc:subject>
	<dc:subject xml:lang="id-ID">Status Gizi</dc:subject>
	<dc:subject xml:lang="id-ID">Timbangan Lemak Tubuh</dc:subject>
	<dc:subject xml:lang="en-US">Arduino</dc:subject>
	<dc:subject xml:lang="en-US">Body Composition</dc:subject>
	<dc:subject xml:lang="en-US">Dietary Recommendations</dc:subject>
	<dc:subject xml:lang="en-US">Nutritional Status</dc:subject>
	<dc:subject xml:lang="en-US">Body Fat Scale</dc:subject>
	<dc:description xml:lang="en-US">Background: Accurate nutritional status assessment is essential for designing appropriate dietary recommendations. Conventional body composition analysis tools are often expensive and less accessible. Therefore, the development of modified body fat scales integrated with dietary recommendation features may provide a practical alternative.
Objectives: This study aims to implement an integrated dietary recommendation system into body fat scales for students at Muhammadiyah University of PKU Surakarta and to evaluate the measurement accuracy compared to standard devices.
Methods: This comparative experimental study involved 60 samples. Measurements included Body Weight (BW), Height (H), Body Mass Index (BMI), body fat percentage, bone density, body fluid, and muscle mass. Data were analyzed using independent sample t-tests and the Mann-Whitney test to compare results between the modified scales and standard (calibrated) scales.
Results: The findings indicate no significant differences in body weight, height, and BMI between the modified scales and standard scales (p-value&amp;gt;0.05). However, there were significant differences in body fat percentage (p-value=0.008), bone density (p-value&amp;lt;0.001), body water content (p-value&amp;lt;0.001), and muscle mass (p-value&amp;lt;0.001). Despite these variations, the integrated system successfully provided tailored dietary recommendations based on BMI and body fat analysis.
Conclusions: The body fat scale with integrated dietary recommendation features is accurate for assessing basic parameters such as body weight, height, and BMI, while also offering added value through dietary recommendations. Nevertheless, further refinement is necessary to enhance the accuracy of body composition measurements prior to large-scale application.</dc:description>
	<dc:description xml:lang="id-ID">Latar Belakang: Penilaian status gizi yang akurat sangat penting untuk merancang rekomendasi diet yang tepat. Alat analisis komposisi tubuh konvensional seringkali mahal dan kurang terjangkau. Oleh karena itu, pengembangan timbangan lemak tubuh termodifikasi yang terintegrasi dengan fitur rekomendasi diet dapat memberikan alternatif yang praktis.
Tujuan: Penelitian ini bertujuan untuk mengimplementasikan sistem rekomendasi diet yang terintegrasi ke dalam timbangan lemak tubuh pada mahasiswa Universitas Muhammadiyah PKU Surakarta dan mengevaluasi akurasi pengukurannya dibandingkan dengan perangkat standar.
Metode: Penelitian komparatif eksperimental ini melibatkan 60 sampel. Pengukuran meliputi Berat Badan (BB), Tinggi Badan (TB), Indeks Massa Tubuh (IMT), persentase lemak tubuh, kepadatan tulang, cairan tubuh, dan massa otot. Data dianalisis menggunakan uji-T sampel independen, dan uji Mann-Whitney untuk membandingkan hasil antara timbangan termodifikasi dan timbangan standar (terkalibrasi).
Hasil: Hasil penelitian menunjukkan tidak ada perbedaan signifikan pada berat badan, tinggi badan, dan IMT antara timbangan termodifikasi dan timbangan standar (p-value&amp;gt;0,05). Namun, terdapat perbedaan signifikan pada persentase lemak tubuh (p-value=0,008), kepadatan tulang (p-value&amp;lt;0,001), kadar air dalam tubuh (p-value&amp;lt;0,001), dan massa otot (p-value&amp;lt;0,001). Meskipun terdapat variasi ini, sistem terintegrasi ini berhasil memberikan rekomendasi diet yang disesuaikan berdasarkan analisis IMT dan lemak tubuh.
Kesimpulan: Lemak tubuh dengan fitur rekomendasi diet terintegrasi ini akurat untuk menilai parameter dasar seperti berat badan, tinggi badan, dan IMT serta menawarkan nilai tambah rekomendasi diet. Namun demikian, penyempurnaan lebih lanjut diperlukan untuk meningkatkan akurasi pengukuran komposisi tubuh sebelum aplikasi skala besar.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2025-12-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/AMNT/article/view/79362</dc:identifier>
	<dc:identifier>10.20473/amnt.v9i1SP.2025.388-395</dc:identifier>
	<dc:source xml:lang="en-US">Amerta Nutrition; Vol. 9 No. 1SP (2025): AMERTA NUTRITION SUPPLEMENTARY EDITION Special 5th Amerta Nutrition Conference 2025; 388-395</dc:source>
	<dc:source>2580-9776</dc:source>
	<dc:source>2580-1163</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/AMNT/article/view/79362/36526</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/AMNT/article/view/79362/36527</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Amerta Nutrition</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>